Using AI to predict outcomes of liver transplants from deceased donors
Generative-AI based system for accurate prediction of deceased donor liver-transplant (DDLT) outcome and viability
This study is working on a smart computer program that helps doctors look at liver tissues from donors who have passed away, making it easier to decide if the liver is good for transplant, which can lead to better outcomes and less chance of rejection.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Louisville NIH-funded |
| Lab location | 1 site (Louisville, United States) |
| Project ID | NIH-10654166 on NIH RePORTER |
What this research studies
This research aims to develop a Generative AI-based system that assists pathologists and surgeons in evaluating liver tissues from deceased donors during transplantation. The system will create virtual slides to enhance the histopathological evaluation process, which is crucial for determining the viability of the liver for transplant. By utilizing advanced AI techniques, the project seeks to improve the accuracy of predicting transplant outcomes and reduce the risk of rejecting viable livers. This innovative approach addresses the time-sensitive nature of liver transplantation and aims to optimize the use of available organs.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients with chronic liver disease, acute liver failure, or liver cancer who may require a deceased donor liver transplant.
Not a fit: Patients who are not candidates for liver transplantation or those with non-liver-related conditions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve the outcomes of liver transplants by ensuring that more viable organs are successfully utilized.
How similar studies have performed: While the use of AI in medical evaluations is gaining traction, this specific application in liver transplantation is relatively novel and has not been extensively tested in prior studies.
Where this research is happening
Louisville, United States
- University of Louisville — Louisville, United States (Active)
Researchers
- Principal investigator: El-Baz, Ayman S — University of Louisville
- Study coordinator: El-Baz, Ayman S
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.